code: def create_evaluation_dataset(self):
      np.random.seed(20)
      x = np.random.rand(20, 10)
      y = np.random.randint(0, 2, (20))
  
      rdd_x = self.sc.parallelize(x)
      rdd_y = self.sc.parallelize(y)
  
      rdd = rdd_x.zip(rdd_y)
  
      dataset = TFDataset.from_rdd(
          rdd,
          features=(tf.float32, [10]),
          labels=(tf.int32, []),
          batch_per_thread=1,
      )
      return dataset
  
imports: import pytest
  from bigdl.orca.test_zoo_utils import ZooTestCase
  import tensorflow
  import numpy
  import os
  from bigdl.orca.tfpark import KerasModel, TFDataset, TFOptimizer
label_desc: Use image node_id 6 for calling the TestTFParkModel obj's underlying member method code with example usage: obj.create_evaluation_dataset() and returns: dataset